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The query asks the model to recall the topic of an earlier conversation about Tesla; the gold answer is anchored in one specific session about Pooja’s dig site
from the top result below
https://arxiv.org/html/2608.02613v1
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends
https://arxiv.org/html/2607.27099v1
org perpetual non-exclusive license
arXiv:2607
https://arxiv.org/list/cs.AI/new
We demonstrate that it can self-assemble functional circuits from scratch and rapidly re-route logic around permanent, previously unseen hardware faults
https://arxiv.org/html/2501.13956v1
2 Knowledge Graph Construction
2.1 Episodes
2.2 Semantic Entities and Facts
2.2.1 Entities
2.2.2 Facts
2.2.3 Temporal Extraction and Edge Invalidation
2.3 Communities
3 Memory Retrieval
3.1 Search
3.2 Reranker
4 Experiments
4.1 Choice
https://arxiv.org/html/2608.03048v1
for large language models, as recent recurrent-memory approaches face two inherent challenges: sequential chunk-wise updates can overwrite early critical evidence with later irrelevant content, and serial inter-chunk dependencies limit parallelism and cause latency to increase with context length
https://arxiv.org/list/cs.CR/new
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New submissions (showing 32 of 32 entries)
[1] arXiv:2608
https://arxiv.org/list/cs.SE/new
Yet it remains unclear when further evolution helps, how successful and failed trajectories shape revision, and whether extra test-time computation can recover the same gains
https://arxiv.org/html/2609.03027v1
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https://arxiv.org/html/2609.02852v1
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https://arxiv.org/pdf/2407.00225
-scale, Independent and Comprehensive study of the power of LLMs for test case generationWendkûuni C. OuédraogoKader KaboréYinghua LiHaoye TianAnil KoyuncuJacques KleinDavid LoTegawendé F. Bissyandéhttp://creativecommons.org/licenses
https://arxiv.org/src/2608.03883
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https://arxiv.org/src/2608.04003
$Y 0úÑÝ"‹‡ç~¾sªºßÿöÍ«/Þ½éý”'ñ'¿Ï§�ÏtÉ’¤xߺÝÿý:J©'yRf¾ÉŸ¨—꺀ÏÁþ¦Ûe®×†n>)’42÷&zÒmÜ^…‘‰õVVlu÷ óðÄ.8vßK0\ÇIf'çGz·4±¿Yd&Ò… »$»Ã—UÞ[†Ëê-ôûÇ®“qo²§{$*N ¼/èÐ+$\5‡€l]µ5þFÇa¾Í‰2w|¤:á*…UÉÚ¹2Úßt*�~ =0²oW-ËB…¹¼H-÷…ñVIæÑ*0+]F~§Q²'Æ{
https://arxiv.org/src/2006.02893
Òå§Dâ&&hOÕÙg§eð_±ËpE» V*ï %&j†%îåùRI¯ÚfmÇíJKÞØuuŠ'�™É05yËþˆýpP=rH"0ì*«Hkf>8À¶‚Lì6Þ@ä 9²3 ç^ÿ°0ZpÁìâi»:Š=¦ýS%ÃEŠ×L(Bòf³z€®ãç| ½ÏÊpT�²*¤sG¹Ž¯vJ§A¶—ĶÇþ8…„CiïOàº�’Šù°ákÑYEƈPr˜OqŠJ[Z%ß%ð\X>sv=FÇõêÁÕ^ut
https://arxiv.org/src/2006.03271
{ûÞùÅ–Ì 3ƒù*r”™TúfϨËÏ~§Ÿ{øyðà>¿âgùõèàáƒÏö+O‚ê¯:õLªâ±'#�i?ÔùØKR}ŒUšíy½Ÿ3ó²Ro¬ÎU¨Ày“Úƒ©Üedƒ8w+%í²¼wëííV6µXìõvN8à¸W^;ð�6¬½èÉ„ýx§U‚a ÎKÇeÏ �X“±$Õj»Ž&„Øá„ ñ�ïõQ8MÊÈŽÜ�¼_üPfÙ;F¿/^½ùáíéÉëSïõ§/žÌÄ�¤I�2§Xác†C„êvøt9
https://arxiv.org/pdf/2211.01910
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https://arxiv.org/pdf/2006.04122
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https://arxiv.org/src/2211.01910v2
-©¯¶wBöìS3C¥bÜ---ë·–D«r5G£à§ÛO?ûû]󉟵Ï^»}ÐþÉév[íýýŽãô~j9N§Óþ‰µþ},•?iœpÍØOZ©ä[ã¾÷þÿéÏýHLd´L|1’£@ª‰æ3±Zöú«�û™V�Ò® CyËûˆ'â)à£Õ¿œ‡å8[F¤:0/ï10I„Qâi†·|œ}/ÇO÷nñP0 Ž“E îEäÙG÷Züi‡± ž’†0>�¨Þ‹ 6ÐŽ²[›h•ÎØ}¾ÖR‡«ûŸÁåýXîìÜcÓ2á¿®ç5
https://arxiv.org/src/2006.02464
Ýï>Ó>ãñ!ÿŧýŸ£/ìáÑáh4>�¾èÛöÐî!ú¿BõO–¤2â‹8ŠÒÛàÞwÿ/ú #Ð,ÿl4þþüI©~–Ë¥ ]ïÚJÕõï²Çíöo�‡ƒÃÂþñ ö?÷í¿íÿ�øt&…ø;�I¢œÔ‹Âíiœz3é¤âÔÜËéf6-ïO“4Æ}üüz¡„,À�(L¼$MD4ç~ä\£øê¿±Œ£4J7K%’(‹@Wu…b™Œ—LÄ,ŠÅ4ó|×çbG��í ºÂõbU\Æj)c‚L±¿ W^…� SKB;
https://arxiv.org/list/cond-mat/new
The mixed anomaly between these is accommodated by the not-on-site action of the symmetries
https://arxiv.org/html/2607.22511v2
A statement can be free of sorry and still be mathematically uninformative: a definition may reduce to True; or an unproven step may be introduced as an axiom that the kernel accepts
https://arxiv.org/pdf/2608.03014
Á‡ûïo*6Ñer�ìfÃÌò™™ïÎR0� 80bƒÜå`ƒmÀ‡pÀqMp�˜Œã „�FqA�p7À׿¸Fáà`q©øqwÆ$«‹ :4`DÁøq¶-Ë�—SWËÊ ÆÅþ†xòò°á"Q FPëÆ{ËŽ@q�îÓ¢~=–ŸMuÄ¿ÛQ˜}ÛpŒäôÒüý,ÀXáHpªÒC‰Ûèà´«ó÷–fSæÍ[ n»×ý½»šmæËÝÈ‹’s�Ã8¦„C(éÇqõ8–'Œý‡èYÊ]Täå¼ÉÞ{óg[ b«Clö
https://arxiv.org/pdf/2608.01785
B×%pp†7w}^Ít§3>›/n¤NŒ ·yàú@øI’v�o‘¡¬½nÞG‚ÿžŠê—
https://arxiv.org/list/cs.CL/new
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Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world's oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed
https://arxiv.org/abs/2608.03860
The pipeline combines sentence-window chunking, BM25, BGE-M3 dense retrieval, reciprocal rank fusion, optional cross-encoder reranking, and grounded answer generation
https://arxiv.org/pdf/2210.00282
}ûîj%à'ãL,í®VÚ¿]üúpuý–‹]•9Ëw‡û]ÂãHä|——"JR±;Ô»‚÷1�ß3–ÞîC–ÄÁç=ü'û wI0i¢å¤+Ú�'£¿‘“;çxwzjˆw¯TG´æÔ?˜ó>çA´q ·epkò¹\Vïÿ=¼»~›Ç«·²„E™(w1½ò°/Y ïÔ$Û°W$a[–Ei&¼øsFÁù]Èxp:L’¨äœN®,-„·´È½¥@ûì(ÎR¤,êag}|%§s£}˜±8øíaÀ®-üI””ùw£„ìçz�Ï@UøM8»P
https://arxiv.org/list/math.ST/2024-03
00186 [pdf, html, other]
Title: Warped Kernel Estimator for I
https://arxiv.org/html/2508.20101v1
The model combines classical GARCH(pp, qq) dynamics with spatially correlated innovations and spatially varying parameters, estimated using local likelihood methods
https://arxiv.org/abs/2608.12700
A kernel can pass that test and still be silently wrong
https://arxiv.org/html/2608.02851v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/abs/2204.04218
In many situations, computed tomography (CT) or magnetic resonance imaging (MRI) techniques capture several scans (modes) during a single investigation, which can jointly be used (in a multimodal fashion) to further boost the quality of super-resolution results